Automated detection and tracking of many cells by using 4D live-cell imaging data. - Terumasa Tokunaga; Osamu Hirose; Shotaro Kawaguchi; Yu Toyoshima; Takayuki Teramoto; Hisaki Ikebata; Sayuri Kuge; Takeshi Ishihara; Yuichi Iino; Ryo Yoshida (Bioinform., 2014)

Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space. - Yu Toyoshima; Terumasa Tokunaga; Osamu Hirose; Manami Kanamori; Takayuki Teramoto; Moon Sun Jang; Sayuri Kuge; Takeshi Ishihara; Ryo Yoshida; Yuichi Iino (PLoS Comput. Biol., 2016)

SPF-CellTracker: Tracking Multiple Cells with Strongly-Correlated Moves Using a Spatial Particle Filter. - Osamu Hirose; Shotaro Kawaguchi; Terumasa Tokunaga; Yu Toyoshima; Takayuki Teramoto; Sayuri Kuge; Takeshi Ishihara; Yuichi Iino; Ryo Yoshida (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior. - Keita Mori; Naohiro Yamauchi; Haoyu Wang; Ken Sato; Yu Toyoshima; Yuichi Iino (Neural Networks, 2022)

WormTensor: a clustering method for time-series whole-brain activity data from C. elegans. - Koki Tsuyuzaki; Kentaro Yamamoto; Yu Toyoshima; Hirofumi Sato; Manami Kanamori; Takayuki Teramoto; Takeshi Ishihara; Yuichi Iino; Itoshi Nikaido (BMC Bioinform., 2023)

Ensemble dynamics and information flow deduction from whole-brain imaging data. - Yu Toyoshima; Hirofumi Sato; Daiki Nagata; Manami Kanamori; Moon Sun Jang; Koyo Kuze; Suzu Oe; Takayuki Teramoto; Yuishi Iwasaki; Ryo Yoshida; Takeshi Ishihara; Yuichi Iino (PLoS Comput. Biol., 2024)